{"id":"W2946619189","doi":"10.12927/cjnl.2019.25816","title":"Smartphone Technology: Enabling Prioritization of Patient Needs and Enhancing the Nurse-Patient Relationship","year":2019,"lang":"en","type":"article","venue":"Nursing leadership","topic":"Mobile Health and mHealth Applications","field":"Health Professions","cited_by":5,"is_retracted":false,"has_abstract":true,"ca_institutions":"Humber River Regional Hospital","funders":"","keywords":"Workflow; Nursing; Health care; Focus group; mHealth; Medicine; Business; Computer science; Psychological intervention","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":true,"about_ca":false,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0006351777,0.0001541819,0.000261016,0.0003898081,0.0008961849,0.000008106765,0.0001308931,0.000332176,0.00005863762],"category_scores_gemma":[0.0004478385,0.0001280673,0.00003533739,0.001005168,0.0001955902,0.0001024197,0.0000150459,0.0008385758,0.0001116662],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002421831,"about_ca_system_score_gemma":0.0003959826,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00004095753,"about_ca_topic_score_gemma":0.00002720414,"domain_scores_codex":[0.9977032,0.0003194227,0.0008158967,0.0002789792,0.0002587336,0.0006238024],"domain_scores_gemma":[0.9976704,0.0009703332,0.000495486,0.0004983833,0.0002148913,0.0001504768],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"qualitative","study_design_scores_codex":[0.0002911614,0.0003765314,0.366214,0.003013204,0.00003022783,8.020322e-7,0.14851,0.0001426174,0.006390223,0.2002261,0.004533879,0.2702712],"study_design_scores_gemma":[0.002878773,0.0009739095,0.1359368,0.00865937,0.0001436705,0.00002208983,0.773124,0.0007419474,0.004261551,0.01234818,0.06022364,0.0006860053],"study_design_candidate":"qualitative","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.953169,0.002688158,0.0008789978,0.03283142,0.001111258,0.004020887,0.00000703061,0.0001920259,0.005101243],"genre_scores_gemma":[0.9966853,0.00003321237,0.0007049229,0.001298167,0.0001043364,0.0007289222,0.000019257,0.00003211497,0.0003937634],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.624614,"threshold_uncertainty_score":0.6892821,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.09173059255876329,"score_gpt":0.3624933128683441,"score_spread":0.2707627203095808,"validation_status":"score_only:v0-immature-baseline","note":"Baseline scores from an immature model (maturity gate not passed). Scores rank; they never assert a category."}}